For the top-tagging benchmark, we use the dataset available at Ref.[1]}.
The events are generated with Pythia8 and passed into Delphes[2]} fast detector simulation, without pileup.
The signal process is \(t\bar{t}\)  and the background is inclusive QCD.
Jets are reconstructed using Delphes EFlow module, with anti-\(k_\mathrm {T}\)  radius parameter \(R=0.8\) , and are required to have \(p_\mathrm {T} \in [550, 650]\)  GeV and \(|\eta |<2\) .
For each jet, we record the 4-momenta for the leading 140 particle-flow constituents.
